Waste-to-Energy Potential of Petroleum Refinery Sludge, Statistical Optimization, Machine Learning, and Life Cycle Costs Models by Seyyed Roohollah Masoomi, Mohammad Gheibi, Reza Moezzi, Kourosh Behzadian, Atiyeh Ardakanian, Farzad Piadeh, Andres Annuk

“…Implementing this approach within a circular economy framework can optimize refinery waste management while reducing pollution, though proper combustion byproduct control is essential for sustainability and regulatory compliance.…”
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Integrated Carbon Flow Tracing and Topology Reconfiguration for Low-Carbon Optimal Dispatch in DG-Embedded Distribution Networks by Rao Fu, Guofeng Xia, Sining Hu, Yuhao Zhang, Handaoyuan Li, Jiachuan Shi

“…Validated on a 16-node three-feeder system, the method co-optimizes switch configurations and DG outputs, achieving dual objectives of loss reduction and carbon emission mitigation while preserving radial topology feasibility.…”
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Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization by Hamid Sabbaghi, Nader Fathianpour

“…Because, the HHORF model has recognized 86.53% mineralization occurrences through 30% corresponding area while the RF method has catched 80.14% mineralization occurrences up via same corresponding area.…”
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Two-Stage Robust Optimization Model for Flexible Response of Micro-Energy Grid Clusters to Host Utility Grid by Hongkai Zhang, Outing Zhang, Peng Li, Xianyu Yue, Zhongfu Tan

“…Then, aiming to reduce operation expenses, an optimal self-scheduling plan is generated by establishing a MEG scheduling optimization model; on this basis, the flexibility response capability of the MEG is measured. …”
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Optimized Dual-Battery System with Intelligent Auto-Switching for Reliable Soil Nutrient Monitoring in Remote IoT Applications by Doan Perdana, Pascal Lorenz, Bagus Aditya

“…The integration of intelligent auto-switching mechanisms and metaheuristic optimisation algorithms demonstrates a marked enhancement in both reliability and energy efficiency for soil nutrient monitoring systems. This method extends the lifespan of electronic devices while ensuring reliable energy storage over time. …”
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Robust Time-Optimal Kinematic Control of Robotic Manipulators Based on Recurrent Neural Network Against Harmonic Noises by Yiqun Kuang, Shuai Li, Zhan Li

“…We provide a thorough theoretical analysis of the RNN-based control solver, establishing its convergence and optimality. Importantly, our method maximizes end-effector speed without violating any joint velocity limits, thereby enhancing the path-tracking speed compared to previous schemes. …”
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A Transformer-LSTM-SVR hybrid model for AI-driven emotional optimization in NEV embedded interior systems by Zongming Liu, Xuhui Chen, Xinan Liang, Zhicheng Sun, Fengqi Yang, Wenwen Ou, Linwei Li, Xiayan Qin

“…Current research on emotion optimization in new energy vehicle interiors lacks efficient nonlinear modeling methods. …”
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Adaptive Multi-Objective Firefly Optimization for Energy-Efficient and QoS-Aware Scheduling in Distributed Green Data Centers by Ahmed Chiheb Ammari, Wael Labidi, Rami Al-Hmouz

“…We formulate a multi-objective optimization problem that minimizes total operational costs while reducing the Average Task Loss Probability (ATLP), a key Quality of Service (QoS) metric. …”
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Evaluation of Ecosystem Service Capacity Using the Integrated Ecosystem Services Index at Optimal Scale in Central Yunnan, China by Lanfang Liu, Jinliang Wang, Jie Li, Suling He, Yongcui Lan, Fang Liu

“…ABSTRACT Understanding and quantifying the dynamic features of local ecosystem services (ESs) and integrating diverse ecosystem assessment results form crucial foundations for regional ES management. However, existing methods for integrating and objectively evaluating multiple ESs remain limited. …”
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Optimizing translation for low-resource languages: Efficient fine-tuning with custom prompt engineering in large language models by Pitso Walter Khoboko, Vukosi Marivate, Joseph Sefara

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Bayesian optimization of biodegradable polymers via machine learning driven features from low-field NMR data by Ryo Fujita, Yoshifumi Amamoto, Jun Kikuchi

“…This study proposes a method for optimizing polymer process conditions using CNN-based features extracted from relaxation curves. …”
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Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review by Olga Adriana Caliman Sturdza, Florin Filip, Monica Terteliu Baitan, Mihai Dimian

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TMBO-AOD: Transparent Mask Background Optimization for Accurate Object Detection in Large-Scale Remote-Sensing Images by Tianyi Fu, Hongbin Dong, Benyi Yang, Baosong Deng

“…Additionally, we validate the effectiveness of our adaptive filtering framework in both anchor-based and anchor-free methods. When implemented with YOLOv5 (anchor based), the framework reduces the candidate generation time by 48.36%, while the YOLOv8 (anchor-free) implementation achieves a 46.81% reduction, both with maintained detection accuracy.…”
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A Collaborative Transit Signal Priority Method Considering Gaming among Traffic Participants by Bing Wu, Haishan Wang, Yanli Wang, Ben Zhai, TanXing Xue

“…To this end, a collaborative transit signal priority (Co-TSP) method is proposed. The core of Co-TSP is a two-objective optimization problem which takes the expected delays of buses and the average delays of nontransit vehicles as the objectives. …”
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Research on Optimal Dispatch with Source-Load Coordination for Micro-energy Grid Based on Energy-Carbon Coupling Model by Shijie XU, Bangjie HU, Liang ZHAO, Pei WANG

“…Taking the micro energy grid coupled with power, heat and gas as the research object, an optimal dispatch method with source-load coordination of heterogeneous energy flow system based on energy-carbon coupling model is proposed, and a two-stage optimal dispatch framework of day-ahead and intra-day based on the process of source-load coordination is built. …”
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Performance validation of microchannel heat sinks based on single/multiobjective topology optimization and manufactured by selective laser melting by Guangzhao Yang, Mingxuan Cao, Pingnan Huang, Linlin Pan, Xin Zhong, Liang Yang, Weiwei Guo, Matthew M.F. Yuen, Huijun Li

“…This study presents the design and experimental validation of two-dimensional (2D) and pseudo three-dimensional (P3D) microchannel heat sinks optimized through single-objective and multiobjective topology optimization via the solid isotropic material with penalization (SIMP) method. …”
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Knowledge-Based Planning and Multi-criteria Optimization Combination with Volumetric Modulated Arc Therapy for Patients with Laryngeal Cancer by Hideharu Miura, Soichiro Ishihara, Masahiro Kenjo, Minoru Nakao, Shuichi Ozawa, Masayuki Kagemoto

“…The maximum dose to the spinal cord did not differ significantly among the three planning methods. Conclusions: KBP + MCO could improve dose sparing of the carotid artery while maintaining PTV coverage in laryngeal VMAT.…”
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Optimal sleep time controller based on traffic prediction and residual energy in duty-cycled wireless sensor networks by Haibo Luo, Minghua He, Zhiqiang Ruan, Xiaxia Zeng

“…In this article, we investigate the trade-off between energy consumption and latency and formulate them into a multi-objective optimization problem. By applying the single exponential smoothing method, we estimate the amount of data of next period and design two optimal sleep time controllers according to time scheduling model of network, so as to dynamically adjust the duty cycle of end node. …”
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A Comparative Study on Current- and Voltage-Optimized Circuit Scheme for Multiple-Transmitter and Single-Receiver WPT System by Jin Zhang, Weiao Xu, Dong Chen, Chen Zhang

“…While voltage-optimized circuit scheme can effectively adjust the source voltages and feeding currents and maintain the same level of input power and PDL as a current-optimized solution. …”
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Optimizing spatial food crops planting structure under water-energy-food-carbon emissions nexus constraints by Chunqing Wang, Liangliang Zhang, Dong Liu, Nan Sun, Mo Li, Muhammad Abrar Faiz, Muhammad Imran Khan, Tianxiao Li, Song Cui

“…Previous research has largely overlooked the influence of the WEFCN harmony degree on optimizing food crop planting structure. In response, this study proposes a novel FCPS optimization method that integrates the WEFCN and incorporates harmony degree constraints, aiming to address two key scientific challenges: (1) integrating the WEFCN into FCPS optimization research, and (2) quantitatively evaluating and constraining system harmony degree to enhance overall system stability and coordination. …”
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